# Computational and Theoretical Studies of Retroviral Replication  - Resubmission

> **NIH NIH F32** · UNIVERSITY OF CHICAGO · 2020 · $64,926

## Abstract

PROJECT SUMMARY
Retroviral replication relies on atomic-scale phenomena such as the quantum chemistry of bond formation and
large scale processes such as protein self-assembly. These processes are fundamentally multiscale in nature,
since they span time and length scales from the molecular to the mesoscopic. For instance, during viral particle
maturation, proteolytic cleavage of the group specific antigen polyprotein (Gag) releases capsid (CA) proteins,
which are subsequently reassembled into a conical capsid. Our long-term goal is to develop and apply novel
multiscale computational approaches to study retroviral replication.
To achieve this goal, there are two main foci. The first focus is to develop multiscale simulation methods for
which there are two separate strategies. (1) Strategies that link atomic-level structures and simulations to lower
resolution models using rigorous statistical mechanical approaches or so-called “bottom-up” coarse-graining
methods. (2) Strategies that use experimental data to directly develop coarse models, which are subsequently
refined at higher resolutions. These are “top-down” approaches. The second focus is to apply these methods
to uncover the mechanisms by which key proteins might influence retroviral replication.
This proposal will concentrate on three biomolecular systems to probe the viral replication process: the innate
immune sensors, TRIM5α, that recognize and destroy viral capsids, the CA protein that encases the viral DNA,
and CA hexamers that form pores in the capsid. Investigations into the biophysical mechanisms involved will
be guided by three specific aims (1) to determine how TRIM5α nucleate and grow protein lattices that encage
capsids, (2) to identify the origins for capsid polymorphism, and (3) to investigate chemical features of capsid
pores that contribute to capsid stability or viral function. Top-down coarse-grained models of TRIM5α and CA
proteins will be developed and made more physically accurate using available experimental, structural, and
biochemical data. Bottom-up coarse-grained models for CA will be constructed using atomistic simulations of
viral capsids. Microsecond timescale atomistic simulations of CA hexamers capsid pores will also be
performed to lay the groundwork for reactive molecular dynamics simulations approaches that allow for proton
transport and chemical bond formation. A key approach, at all stages of our studies, is to develop multiscale
computational methods that couple each level of description to the next.
Our computational predictions on retroviral mechanism will be validated and/or refined in collaboration with
three leading experimentalists. Collectively, insights from these studies will broadly impact the fields of
molecular simulation, virology, and biophysics. Findings from these studies have the potential to aid in the
development of new therapeutic strategies to combat retroviral infection.

## Key facts

- **NIH application ID:** 9910613
- **Project number:** 1F32AI150208-01A1
- **Recipient organization:** UNIVERSITY OF CHICAGO
- **Principal Investigator:** Alvin Yu
- **Activity code:** F32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $64,926
- **Award type:** 1
- **Project period:** 2020-02-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9910613

## Citation

> US National Institutes of Health, RePORTER application 9910613, Computational and Theoretical Studies of Retroviral Replication  - Resubmission (1F32AI150208-01A1). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/9910613. Licensed CC0.

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